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chatbot_gemini_using_python

Neste código, explorei alguns dos pontos relevantes da documentação da API Gemini (Google) em Python.

divergences_indicator_autocorrelation

Neste código, mostro como detectar divergências entre preço e indicador de forma automatizada utilizando análises de autocorrelação

drawdown_insights

enhanced_python_excel_output

In this code, we will build an Excel file that displays a report of a theoretical asset portfolio. To generate the customized Excel output, we will use the xlsxwriter library. I aimed to cover a large part of the documentation sections to explore the different functions.

enviroextract

This project provides an end-to-end pipeline for extracting environmental variables (e.g., climate, soil, forest cover) from Google Earth Engine catalogs. The code is written in Python and allows for extracting variables from spatial points (coordinates) or polygons (shapefiles)

etl_pipeline_tick_data_b3

Este código busca exemplificar um pipeline ETL (Extract, Transform, Load) usando Python. Mantive o formato .ipynb (notebook) para facilitar o acompanhamento da rotina por iniciantes. Ele está dividido em três etapas: 1) Extração de múltiplos dados via webscraping; 2) Transformação dos dados; 3) Carregar os dados já estrurados para um database;

jamirpradojunior

jpj

Welcome aboard! Let's sail around the Data Science World!

meteostat_climate_data

This code is based on Meteostat API to provide simple access to a large archive of historical weather and climate data. The records are queried by weather station or geo location and can be filtered by specifying a date range and other optional parameters

screening_support_resistance_kmeans

Automatically detecting supports and resistances across multiple assets to assess potential buy/sell points

time_series_similarity

Explore some practical techniques to measure the similarity between time series data in Python